RSSD: Defend against Ransomware with Hardware-Isolated Network-Storage Codesign and Post-Attack Analysis

Benjamin Reidys, Peng Liu, Jian Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

Encryption ransomware has become a notorious malware. It encrypts user data on storage devices like solid-state drives (SSDs) and demands a ransom to restore data for users. To bypass existing defenses, ransomware would keep evolving and performing new attack models. For instance, we identify and validate three new attacks, including (1) garbage-collection (GC) attack that exploits storage capacity and keeps writing data to trigger GC and force SSDs to release the retained data; (2) timing attack that intentionally slows down the pace of encrypting data and hides its I/O patterns to escape existing defense; (3) trimming attack that utilizes the trim command available in SSDs to physically erase data. To enhance the robustness of SSDs against these attacks, we propose RSSD, a ransomware-Aware SSD. It redesigns the flash management of SSDs for enabling the hardware-Assisted logging, which can conservatively retain older versions of user data and received storage operations in time order with low overhead. It also employs hardware-isolated NVMe over Ethernet to expand local storage capacity by transparently offloading the logs to remote cloud/servers in a secure manner. RSSD enables post-Attack analysis by building a trusted evidence chain of storage operations to assist the investigation of ransomware attacks. We develop RSSD with a real-world SSD FPGA board. Our evaluation shows that RSSD can defend against new and future ransomware attacks, while introducing negligible performance overhead.

Original languageEnglish (US)
Title of host publicationASPLOS 2022 - Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems
EditorsBabak Falsafi, Michael Ferdman, Shan Lu, Thomas F. Wenisch
PublisherAssociation for Computing Machinery
Pages726-739
Number of pages14
ISBN (Electronic)9781450392051
DOIs
StatePublished - Feb 28 2022
Event27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2022 - Virtual, Online, Switzerland
Duration: Feb 28 2022Mar 4 2022

Publication series

NameInternational Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS

Conference

Conference27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2022
Country/TerritorySwitzerland
CityVirtual, Online
Period2/28/223/4/22

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Hardware and Architecture

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